GreggHartvigsen
Primer in Biological Data Analysis and Visualization Using R
Primer in Biological Data Analysis and Visualization Using R
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Excellent- More about Primer in Biological Data Analysis and Visualization Using R
R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. This text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences, emphasizing the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data. It covers testing data for normality, defining and identifying outliers, and working with non-normally distributed data.
\n Format: Paperback / softback
\n Length: 216 pages
\n Publication date: 29 June 2021
\n Publisher: Columbia University Press
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The R programming language is a widely used open-source tool for statistical analysis and data visualization in the field of biology. With extensive experience in teaching biostatistics and modeling biological systems, Gregg Hartvigsen has authored this comprehensive text to provide an engaging and practical introduction to R for students in the life sciences.
Hartvigsen emphasizes the significance of R and RStudio in organizing, computing, and visualizing biological statistics and data. He guides readers through the processes of correctly entering and analyzing data, utilizing R to create visually appealing graphs such as histograms, boxplots, barplots, scatterplots, and more. The book covers essential topics such as testing data for normality, identifying outliers, and working with non-normally distributed data. Students are introduced to common one- and two-sample tests, including ANOVA, correlation, and linear and nonlinear regression analyses.
In addition to these foundational concepts, the book includes a section on advanced procedures and a chapter outlining algorithms and the art of programming using R. The second edition of this text has been revised to ensure it remains current with the latest versions of R software released since its original publication. Updated terminology, references, and examples are included throughout to enhance the learning experience.
Whether you are a novice in the field of biology or seeking to enhance your statistical analysis skills, this text is an invaluable resource for learning R and applying it to biological data. Its engaging writing style, practical examples, and lab-oriented approach make it an ideal guide for students and researchers alike.
\n Weight: 430g\n
Dimension: 178 x 253 x 20 (mm)\n
ISBN-13: 9780231202138\n
Edition number: second edition\n
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